Application of Machine Learning Algorithms Based on Active Learning Strategies and Interpretable Models for HVAC System Energy Consumption Prediction
ABSTRACT Effective energy management in buildings is crucial for reducing emissions and achieving sustainability goals. However, traditional consumption prediction models often exhibit decreased accuracy with limited data, heightened sensitivity to outliers, and inadequate interpretability. To addre...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Engineering Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/eng2.70255 |
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